Actual source code: ilu.c

petsc-3.6.1 2015-07-22
Report Typos and Errors
  2: /*
  3:    Defines a ILU factorization preconditioner for any Mat implementation
  4: */
  5: #include <../src/ksp/pc/impls/factor/ilu/ilu.h>     /*I "petscpc.h"  I*/

  7: /* ------------------------------------------------------------------------------------------*/
 10: PetscErrorCode  PCFactorSetReuseFill_ILU(PC pc,PetscBool flag)
 11: {
 12:   PC_ILU *lu = (PC_ILU*)pc->data;

 15:   lu->reusefill = flag;
 16:   return(0);
 17: }

 21: PetscErrorCode  PCFactorReorderForNonzeroDiagonal_ILU(PC pc,PetscReal z)
 22: {
 23:   PC_ILU *ilu = (PC_ILU*)pc->data;

 26:   ilu->nonzerosalongdiagonal = PETSC_TRUE;
 27:   if (z == PETSC_DECIDE) ilu->nonzerosalongdiagonaltol = 1.e-10;
 28:   else ilu->nonzerosalongdiagonaltol = z;
 29:   return(0);
 30: }

 34: PetscErrorCode PCReset_ILU(PC pc)
 35: {
 36:   PC_ILU         *ilu = (PC_ILU*)pc->data;

 40:   if (!ilu->inplace) {MatDestroy(&((PC_Factor*)ilu)->fact);}
 41:   if (ilu->row && ilu->col && ilu->row != ilu->col) {ISDestroy(&ilu->row);}
 42:   ISDestroy(&ilu->col);
 43:   return(0);
 44: }

 48: PetscErrorCode  PCFactorSetDropTolerance_ILU(PC pc,PetscReal dt,PetscReal dtcol,PetscInt dtcount)
 49: {
 50:   PC_ILU *ilu = (PC_ILU*)pc->data;

 53:   if (pc->setupcalled && (((PC_Factor*)ilu)->info.dt != dt || ((PC_Factor*)ilu)->info.dtcol != dtcol || ((PC_Factor*)ilu)->info.dtcount != dtcount)) {
 54:     SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot change drop tolerance after using PC");
 55:   }
 56:   ((PC_Factor*)ilu)->info.dt      = dt;
 57:   ((PC_Factor*)ilu)->info.dtcol   = dtcol;
 58:   ((PC_Factor*)ilu)->info.dtcount = dtcount;
 59:   ((PC_Factor*)ilu)->info.usedt   = 1.0;
 60:   return(0);
 61: }

 65: PetscErrorCode  PCFactorSetReuseOrdering_ILU(PC pc,PetscBool flag)
 66: {
 67:   PC_ILU *ilu = (PC_ILU*)pc->data;

 70:   ilu->reuseordering = flag;
 71:   return(0);
 72: }

 76: PetscErrorCode  PCFactorSetUseInPlace_ILU(PC pc,PetscBool flg)
 77: {
 78:   PC_ILU *dir = (PC_ILU*)pc->data;

 81:   dir->inplace = flg;
 82:   return(0);
 83: }

 87: PetscErrorCode  PCFactorGetUseInPlace_ILU(PC pc,PetscBool *flg)
 88: {
 89:   PC_ILU *dir = (PC_ILU*)pc->data;

 92:   *flg = dir->inplace;
 93:   return(0);
 94: }

 98: static PetscErrorCode PCSetFromOptions_ILU(PetscOptions *PetscOptionsObject,PC pc)
 99: {
101:   PetscInt       itmp;
102:   PetscBool      flg,set;
103:   PC_ILU         *ilu = (PC_ILU*)pc->data;
104:   PetscReal      tol;

107:   PetscOptionsHead(PetscOptionsObject,"ILU Options");
108:   PCSetFromOptions_Factor(PetscOptionsObject,pc);

110:   PetscOptionsInt("-pc_factor_levels","levels of fill","PCFactorSetLevels",(PetscInt)((PC_Factor*)ilu)->info.levels,&itmp,&flg);
111:   if (flg) ((PC_Factor*)ilu)->info.levels = itmp;

113:   PetscOptionsBool("-pc_factor_diagonal_fill","Allow fill into empty diagonal entry","PCFactorSetAllowDiagonalFill",((PC_Factor*)ilu)->info.diagonal_fill ? PETSC_TRUE : PETSC_FALSE,&flg,&set);
114:   if (set) ((PC_Factor*)ilu)->info.diagonal_fill = (PetscReal) flg;
115:   PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);
116:   if (flg) {
117:     tol  = PETSC_DECIDE;
118:     PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",ilu->nonzerosalongdiagonaltol,&tol,0);
119:     PCFactorReorderForNonzeroDiagonal(pc,tol);
120:   }

122:   PetscOptionsTail();
123:   return(0);
124: }

128: static PetscErrorCode PCView_ILU(PC pc,PetscViewer viewer)
129: {
130:   PC_ILU         *ilu = (PC_ILU*)pc->data;
132:   PetscBool      iascii;

135:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
136:   if (iascii) {
137:     if (ilu->inplace) {
138:       PetscViewerASCIIPrintf(viewer,"  ILU: in-place factorization\n");
139:     } else {
140:       PetscViewerASCIIPrintf(viewer,"  ILU: out-of-place factorization\n");
141:     }

143:     if (ilu->reusefill)     {PetscViewerASCIIPrintf(viewer,"  ILU: Reusing fill from past factorization\n");}
144:     if (ilu->reuseordering) {PetscViewerASCIIPrintf(viewer,"  ILU: Reusing reordering from past factorization\n");}
145:   }
146:   PCView_Factor(pc,viewer);
147:   return(0);
148: }

152: static PetscErrorCode PCSetUp_ILU(PC pc)
153: {
155:   PC_ILU         *ilu = (PC_ILU*)pc->data;
156:   MatInfo        info;
157:   PetscBool      flg;

160:   /* ugly hack to change default, since it is not support by some matrix types */
161:   if (((PC_Factor*)ilu)->info.shifttype == (PetscReal)MAT_SHIFT_NONZERO) {
162:     PetscObjectTypeCompare((PetscObject)pc->pmat,MATSEQAIJ,&flg);
163:     if (!flg) {
164:       PetscObjectTypeCompare((PetscObject)pc->pmat,MATMPIAIJ,&flg);
165:       if (!flg) {
166:         ((PC_Factor*)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_INBLOCKS;
167:         PetscInfo(pc,"Changing shift type from NONZERO to INBLOCKS because block matrices do not support NONZERO\n");
168:       }
169:     }
170:   }

172:   if (ilu->inplace) {
173:     if (!pc->setupcalled) {

175:       /* In-place factorization only makes sense with the natural ordering,
176:          so we only need to get the ordering once, even if nonzero structure changes */
177:       MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);
178:       if (ilu->row) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);}
179:       if (ilu->col) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);}
180:     }

182:     /* In place ILU only makes sense with fill factor of 1.0 because
183:        cannot have levels of fill */
184:     ((PC_Factor*)ilu)->info.fill          = 1.0;
185:     ((PC_Factor*)ilu)->info.diagonal_fill = 0.0;

187:     MatILUFactor(pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);
188:     ((PC_Factor*)ilu)->fact = pc->pmat;
189:     /* must update the pc record of the matrix state or the PC will attempt to run PCSetUp() yet again */
190:     PetscObjectStateGet((PetscObject)pc->pmat,&pc->matstate);
191:   } else {
192:     if (!pc->setupcalled) {
193:       /* first time in so compute reordering and symbolic factorization */
194:       MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);
195:       if (ilu->row) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);}
196:       if (ilu->col) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);}
197:       /*  Remove zeros along diagonal?     */
198:       if (ilu->nonzerosalongdiagonal) {
199:         MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);
200:       }
201:       if (!((PC_Factor*)ilu)->fact) {
202:         MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);
203:       }
204:       MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);
205:       MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);

207:       ilu->actualfill = info.fill_ratio_needed;

209:       PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);
210:     } else if (pc->flag != SAME_NONZERO_PATTERN) {
211:       if (!ilu->reuseordering) {
212:         /* compute a new ordering for the ILU */
213:         ISDestroy(&ilu->row);
214:         ISDestroy(&ilu->col);
215:         MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);
216:         if (ilu->row) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);}
217:         if (ilu->col) {PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);}
218:         /*  Remove zeros along diagonal?     */
219:         if (ilu->nonzerosalongdiagonal) {
220:           MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);
221:         }
222:       }
223:       MatDestroy(&((PC_Factor*)ilu)->fact);
224:       MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);
225:       MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);
226:       MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);

228:       ilu->actualfill = info.fill_ratio_needed;

230:       PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);
231:     }
232:     MatSetErrorIfFPE(pc->pmat,pc->erroriffailure);
233:     MatLUFactorNumeric(((PC_Factor*)ilu)->fact,pc->pmat,&((PC_Factor*)ilu)->info);
234:   }
235:   return(0);
236: }

240: static PetscErrorCode PCDestroy_ILU(PC pc)
241: {
242:   PC_ILU         *ilu = (PC_ILU*)pc->data;

246:   PCReset_ILU(pc);
247:   PetscFree(((PC_Factor*)ilu)->solvertype);
248:   PetscFree(((PC_Factor*)ilu)->ordering);
249:   PetscFree(pc->data);
250:   return(0);
251: }

255: static PetscErrorCode PCApply_ILU(PC pc,Vec x,Vec y)
256: {
257:   PC_ILU         *ilu = (PC_ILU*)pc->data;

261:   MatSolve(((PC_Factor*)ilu)->fact,x,y);
262:   return(0);
263: }

267: static PetscErrorCode PCApplyTranspose_ILU(PC pc,Vec x,Vec y)
268: {
269:   PC_ILU         *ilu = (PC_ILU*)pc->data;

273:   MatSolveTranspose(((PC_Factor*)ilu)->fact,x,y);
274:   return(0);
275: }

279: static PetscErrorCode PCApplySymmetricLeft_ILU(PC pc,Vec x,Vec y)
280: {
282:   PC_ILU         *icc = (PC_ILU*)pc->data;

285:   MatForwardSolve(((PC_Factor*)icc)->fact,x,y);
286:   return(0);
287: }

291: static PetscErrorCode PCApplySymmetricRight_ILU(PC pc,Vec x,Vec y)
292: {
294:   PC_ILU         *icc = (PC_ILU*)pc->data;

297:   MatBackwardSolve(((PC_Factor*)icc)->fact,x,y);
298:   return(0);
299: }

301: /*MC
302:      PCILU - Incomplete factorization preconditioners.

304:    Options Database Keys:
305: +  -pc_factor_levels <k> - number of levels of fill for ILU(k)
306: .  -pc_factor_in_place - only for ILU(0) with natural ordering, reuses the space of the matrix for
307:                       its factorization (overwrites original matrix)
308: .  -pc_factor_diagonal_fill - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill
309: .  -pc_factor_reuse_ordering - reuse ordering of factorized matrix from previous factorization
310: .  -pc_factor_fill <nfill> - expected amount of fill in factored matrix compared to original matrix, nfill > 1
311: .  -pc_factor_nonzeros_along_diagonal - reorder the matrix before factorization to remove zeros from the diagonal,
312:                                    this decreases the chance of getting a zero pivot
313: .  -pc_factor_mat_ordering_type <natural,nd,1wd,rcm,qmd> - set the row/column ordering of the factored matrix
314: .  -pc_factor_pivot_in_blocks - for block ILU(k) factorization, i.e. with BAIJ matrices with block size larger
315:                              than 1 the diagonal blocks are factored with partial pivoting (this increases the
316:                              stability of the ILU factorization

318:    Level: beginner

320:   Concepts: incomplete factorization

322:    Notes: Only implemented for some matrix formats. (for parallel see PCHYPRE for hypre's ILU)

324:           For BAIJ matrices this implements a point block ILU

326:           The "symmetric" application of this preconditioner is not actually symmetric since L is not transpose(U)
327:           even when the matrix is not symmetric since the U stores the diagonals of the factorization.

329:           If you are using MATSEQAIJCUSPARSE matrices (or MATMPIAIJCUSPARESE matrices with block Jacobi), factorization 
330:           is never done on the GPU).

332:    References:
333:    T. Dupont, R. Kendall, and H. Rachford. An approximate factorization procedure for solving
334:    self-adjoint elliptic difference equations. SIAM J. Numer. Anal., 5:559--573, 1968.

336:    T.A. Oliphant. An implicit numerical method for solving two-dimensional time-dependent dif-
337:    fusion problems. Quart. Appl. Math., 19:221--229, 1961.

339:    Review article: APPROXIMATE AND INCOMPLETE FACTORIZATIONS, TONY F. CHAN AND HENK A. VAN DER VORST
340:       http://igitur-archive.library.uu.nl/math/2001-0621-115821/proc.pdf chapter in Parallel Numerical
341:       Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in
342:       Science and Engineering, Kluwer, pp. 167--202.


345: .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType,
346:            PCFactorSetZeroPivot(), PCFactorSetShiftSetType(), PCFactorSetAmount(),
347:            PCFactorSetDropTolerance(),PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(),
348:            PCFactorSetLevels(), PCFactorSetUseInPlace(), PCFactorSetAllowDiagonalFill(), PCFactorSetPivotInBlocks(),
349:            PCFactorGetAllowDiagonalFill(), PCFactorGetUseInPlace()

351: M*/

355: PETSC_EXTERN PetscErrorCode PCCreate_ILU(PC pc)
356: {
358:   PC_ILU         *ilu;

361:   PetscNewLog(pc,&ilu);

363:   ((PC_Factor*)ilu)->fact               = 0;
364:   MatFactorInfoInitialize(&((PC_Factor*)ilu)->info);
365:   ((PC_Factor*)ilu)->factortype         = MAT_FACTOR_ILU;
366:   ((PC_Factor*)ilu)->info.levels        = 0.;
367:   ((PC_Factor*)ilu)->info.fill          = 1.0;
368:   ilu->col                              = 0;
369:   ilu->row                              = 0;
370:   ilu->inplace                          = PETSC_FALSE;
371:   PetscStrallocpy(MATSOLVERPETSC,&((PC_Factor*)ilu)->solvertype);
372:   PetscStrallocpy(MATORDERINGNATURAL,(char**)&((PC_Factor*)ilu)->ordering);
373:   ilu->reuseordering                    = PETSC_FALSE;
374:   ((PC_Factor*)ilu)->info.dt            = PETSC_DEFAULT;
375:   ((PC_Factor*)ilu)->info.dtcount       = PETSC_DEFAULT;
376:   ((PC_Factor*)ilu)->info.dtcol         = PETSC_DEFAULT;
377:   ((PC_Factor*)ilu)->info.shifttype     = (PetscReal)MAT_SHIFT_NONE;
378:   ((PC_Factor*)ilu)->info.shiftamount   = 100.0*PETSC_MACHINE_EPSILON;
379:   ((PC_Factor*)ilu)->info.zeropivot     = 100.0*PETSC_MACHINE_EPSILON;
380:   ((PC_Factor*)ilu)->info.pivotinblocks = 1.0;
381:   ilu->reusefill                        = PETSC_FALSE;
382:   ((PC_Factor*)ilu)->info.diagonal_fill = 0.0;
383:   pc->data                              = (void*)ilu;

385:   pc->ops->reset               = PCReset_ILU;
386:   pc->ops->destroy             = PCDestroy_ILU;
387:   pc->ops->apply               = PCApply_ILU;
388:   pc->ops->applytranspose      = PCApplyTranspose_ILU;
389:   pc->ops->setup               = PCSetUp_ILU;
390:   pc->ops->setfromoptions      = PCSetFromOptions_ILU;
391:   pc->ops->getfactoredmatrix   = PCFactorGetMatrix_Factor;
392:   pc->ops->view                = PCView_ILU;
393:   pc->ops->applysymmetricleft  = PCApplySymmetricLeft_ILU;
394:   pc->ops->applysymmetricright = PCApplySymmetricRight_ILU;
395:   pc->ops->applyrichardson     = 0;

397:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetZeroPivot_C",PCFactorSetZeroPivot_Factor);
398:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftType_C",PCFactorSetShiftType_Factor);
399:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetShiftAmount_C",PCFactorSetShiftAmount_Factor);
400:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetMatSolverPackage_C",PCFactorGetMatSolverPackage_Factor);
401:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatSolverPackage_C",PCFactorSetMatSolverPackage_Factor);
402:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUpMatSolverPackage_C",PCFactorSetUpMatSolverPackage_Factor);
403:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetDropTolerance_C",PCFactorSetDropTolerance_ILU);
404:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetFill_C",PCFactorSetFill_Factor);
405:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetMatOrderingType_C",PCFactorSetMatOrderingType_Factor);
406:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseOrdering_C",PCFactorSetReuseOrdering_ILU);
407:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetReuseFill_C",PCFactorSetReuseFill_ILU);
408:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetLevels_C",PCFactorSetLevels_Factor);
409:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetLevels_C",PCFactorGetLevels_Factor);
410:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetUseInPlace_C",PCFactorSetUseInPlace_ILU);
411:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetUseInPlace_C",PCFactorGetUseInPlace_ILU);
412:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetAllowDiagonalFill_C",PCFactorSetAllowDiagonalFill_Factor);
413:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorGetAllowDiagonalFill_C",PCFactorGetAllowDiagonalFill_Factor);
414:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetPivotInBlocks_C",PCFactorSetPivotInBlocks_Factor);
415:   PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_ILU);
416:   return(0);
417: }